url='https://raw.githubusercontent.com/Curbal-Data-Labs/Matplotlib-Labs/master/2018w48.csv'
dataset = pd.read_csv(url)

dataset.drop_duplicates(['city','item'], inplace=True)
dataset.pivot_table(index='city', columns='item', values='cost', aggfunc='sum', margins = True).sort_values('All', ascending=True).drop('All', axis=1)

df = dataset.pivot_table(index='city', columns='item', values='cost', aggfunc='sum', margins = True).sort_values('All', ascending=True).drop('All', axis=1).sort_values('All', ascending=False, axis=1).drop('All').reset_index()

# comma replace
for c in df.columns[1:]:
    df[c] = df[c].str.replace(',','.').astype(float)

fig, axes = plt.subplots(nrows=1, ncols=5, figsize=(30,10), sharey=True)

colors = ['green','blue','red','black','brown'] 
col_names = ['Dinner','Drinks at Dinner','2 Longdrinks','Club entry','Cinema entry']

for i, (ax,col,c) in enumerate(zip(axes.ravel(), col_names, colors)):
    ax.plot(df.loc[:,col], df['city'], marker='o', markersize=25, lw=0, color=c)
    ax.set_title(col)
    for i,j in zip(df[col], df['city']):
        ax.annotate('$'+str(i), xy=(i, j), xytext=(i-4,j), color="white", fontsize=8)
    ax.set_xticks([])
    ax.spines[['top', 'right', 'left', 'bottom']].set_visible(False)
    ax.grid(True, axis='y', linestyle='solid', linewidth=2)
    ax.grid(True, axis='x', linestyle='solid', linewidth=0.2)
    ax.xaxis.tick_top() 
    ax.xaxis.set_label_position('top')
    ax.set_xlim(xmin=0, xmax=160)
    ax.xaxis.set_major_formatter('${x:1.0f}')
    ax.tick_params(labelsize=8, labelcolor = #bdbdbd, top=False, left=False)

plt.show()